AISys Lab. ECE, Seoul National University

1 indicates co-first authors

All

2025

Piccolo: Large-Scale Graph Processing with Fine-Grained In-Memory Scatter-Gather
Piccolo: Large-Scale Graph Processing with Fine-Grained In-Memory Scatter-Gather
Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon, Jae Hyung Ju, Frank Liu, Yeonkyu Choi, Jinho Lee
International Symposium on High-Performance Computer Architecture (HPCA)   ·   Mar 2025   ·   To appear
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
Kanghyun Choi, Hyeyoon Lee, Dain Kwon, SunJong Park, Kyuyeun Kim, Noseong Park, Jonghyun Choi, Jinho Lee
AAAI Conference on Artificial Intelligence (AAAI)   ·   Feb 2025   ·   To appear

2024

GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters
GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters
Jaeyong Song, Hongsun Jang, Hunseong Lim, Jaewon Jung, Youngsok Kim, Jinho Lee
The International Conference on Parallel Architectures and Compilation Techniques (PACT)   ·   Oct 2024   ·   To appear
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMMs
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMMs
Si Ung Noh1, Junguk Hong1, Chaemin Lim, Seongyeon Park, Jeehyun Kim, Hanjun Kim, Youngsok Kim, Jinho Lee
International Symposium on Computer Architecture (ISCA)   ·   Jul 2024   ·   10.1109/ISCA59077.2024.00027
DataFreeShield: Defending Adversarial Attacks without Training Data
DataFreeShield: Defending Adversarial Attacks without Training Data
Hyeyoon Lee, Kanghyun Choi, Dain Kwon, SunJong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee
International Conference on Machine Learning (ICML)   ·   May 2024   ·   10.48550/arXiv.2406.15635
Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters
Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters
Jinkyu Yim1, Jaeyong Song1, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee
Design, Automation and Test in Europe Conference (DATE)   ·   Mar 2024   ·   10.23919/DATE58400.2024.10546826
A Case for In-Memory Random Scatter-Gather for Fast Graph Processing
A Case for In-Memory Random Scatter-Gather for Fast Graph Processing
Changmin Shin1, Taehee Kwon1, Jaeyong Song, Jae Hyung Ju, Frank Liu, Jinho Lee
IEEE Computer Architecture Letters (CAL)   ·   Mar 2024   ·   10.1109/LCA.2024.3376680
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee
Computer Vision and Pattern Recognition Conference (CVPR)   ·   Mar 2024   ·   10.48550/arXiv.2403.06668
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee
Best Paper Award-Honorable Mention, International Symposium on High-Performance Computer Architecture (HPCA)   ·   Mar 2024   ·   10.1109/HPCA57654.2024.00034
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping
Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee
ACM Annual Symposium on Principles and Practice of Parallel Programming (PPoPP)   ·   Feb 2024   ·   10.1145/3627535.3638474

2023

Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring
Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring
Jinwoo Choi, Yeonan Ha, Jounghoo Lee, Sangsu Lee, Jinho Lee, Hanhwi Jang, Youngsok Kim
IEEE Transactions on Computers   ·   Dec 2023   ·   10.1109/TC.2023.3299030
Fast Adversarial Training with Dynamic Batch-level Attack Control
Fast Adversarial Training with Dynamic Batch-level Attack Control
Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee
Design Automation Conference (DAC)   ·   Jul 2023   ·   10.1109/DAC56929.2023.10247930
Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs
Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs
Chaemin Lim, Suhyun Lee, Jinwoo Choi, Jounghoo Lee, Seongyeon Park, Hanjun Kim, Jinho Lee, Youngsok Kim
Proceedings of the ACM on Management of Data   ·   Jun 2023   ·   10.1145/3589258
Pipe-BD: Pipelined Parallel Blockwise Distillation
Pipe-BD: Pipelined Parallel Blockwise Distillation
Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)   ·   Apr 2023   ·   10.23919/DATE56975.2023.10137044
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
Mingi Yoo1, Jaeyong Song1, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)   ·   Feb 2023   ·   10.1109/HPCA56546.2023.10071102
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
Jaeyong Song1, Jinkyu Yim1, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2   ·   Jan 2023   ·   10.1145/3575693.3575712
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration
Deokki Hong, Kanghyun Choi, Hye Yoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
Design Automation Conference (DAC)   ·   Jan 2023   ·   arxiv:2301.09312

2022

Improving Gradient Paths for Binary Convolutional Neural Networks
Improving Gradient Paths for Binary Convolutional Neural Networks
Baozhou Zhu, Peter Hofstee, Jinho Lee, Zaid Al-Ars
BMVC   ·   Nov 2022   ·   https://bmvc2022.mpi-inf.mpg.de/281/
GuardiaNN: Fast and Secure On-Device Inference in TrustZone Using Embedded SRAM and Cryptographic Hardware
GuardiaNN: Fast and Secure On-Device Inference in TrustZone Using Embedded SRAM and Cryptographic Hardware
Jinwoo Choi, Jaeyeon Kim, Chaemin Lim, Suhyun Lee, Jinho Lee, Dokyung Song, Youngsok Kim
Proceedings of the 23rd ACM/IFIP International Middleware Conference   ·   Oct 2022   ·   10.1145/3528535.3531513
Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing
Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing
Shinnung Jeong, Yongwoo Lee, Jaeho Lee, Heelim Choi, Seungbin Song, Jinho Lee, Youngsok Kim, Hanjun Kim
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques   ·   Oct 2022   ·   10.1145/3559009.3569686
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
Mingi Yoo1, Jaeyong Song1, Hye Yoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
PACT (Best Paper Award)   ·   Oct 2022   ·   10.1145/3559009.3569693
ComPreEND: Computation Pruning through Predictive Early Negative Detection for ReLU in a Deep Neural Network Accelerator
ComPreEND: Computation Pruning through Predictive Early Negative Detection for ReLU in a Deep Neural Network Accelerator
Namhyung Kim, Hanmin Park, Dongwoo Lee, Sungbum Kang, Jinho Lee, Kiyoung Choi
IEEE Transactions on Computers   ·   Jul 2022   ·   10.1109/TC.2021.3092205
GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs
GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs
Jounghoo Lee, Yeonan Ha, Suhyun Lee, Jinyoung Woo, Jinho Lee, Hanhwi Jang, Youngsok Kim
Proceedings of the 49th Annual International Symposium on Computer Architecture   ·   Jun 2022   ·   10.1145/3470496.3527384
SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs
SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs
Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)   ·   May 2022   ·   10.1109/IPDPS53621.2022.00076
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
Kanghyun Choi, Hye Yoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
Computer Vision and Pattern Recognition Conference (CVPR)   ·   Apr 2022   ·   arxiv:2203.17008

2021

DANCE: Differentiable Accelerator/Network Co-Exploration
DANCE: Differentiable Accelerator/Network Co-Exploration
Kanghyun Choi1, Deokki Hong1, Hojae Yoon1, Joonsang Yu, Youngsok Kim, Jinho Lee
Design Automation Conference (DAC)   ·   Dec 2021   ·   10.1109/DAC18074.2021.9586121
Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs
Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs
Jounghoo Lee, Jinwoo Choi, Jaeyeon Kim, Jinho Lee, Youngsok Kim
2021 58th ACM/IEEE Design Automation Conference (DAC)   ·   Dec 2021   ·   10.1109/DAC18074.2021.9586312
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
Neural Information Processing Systems (NeurIPS)   ·   Nov 2021   ·   arxiv:2111.02625
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
Baozhou Zhu, Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars
IJCAI   ·   Aug 2021   ·   https://www.ijcai.org/proceedings/2021/478
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing
Mingi Yoo1, Jaeyong Song1, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
IEEE Computer Architecture Letters   ·   Jul 2021   ·   10.1109/LCA.2021.3090954
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent
Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee
2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)   ·   Feb 2021   ·   10.1109/HPCA51647.2021.00030

2020

Deep Composer Classification Using Symbolic Representation
Deep Composer Classification Using Symbolic Representation
Sunghyeon Kim1, Hyeyoon Lee1, Sunjong Park1, Jinho Lee, Keunwoo Choi
LBD@ISMIR   ·   Oct 2020   ·   arxiv:2010.00823
FlexReduce: Flexible All-reduce for Distributed Deep Learning on Asymmetric Network Topology
FlexReduce: Flexible All-reduce for Distributed Deep Learning on Asymmetric Network Topology
Jinho Lee, Inseok Hwang, Soham Shah, Minsik Cho
2020 57th ACM/IEEE Design Automation Conference (DAC)   ·   Jul 2020   ·   10.1109/DAC18072.2020.9218538
MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network Design
MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network Design
Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)   ·   Jun 2020   ·   10.1109/CVPRW50498.2020.00385
An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic
An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic
Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H. Peter Hofstee
Journal of Signal Processing Systems   ·   May 2020   ·   10.1007/s11265-020-01547-w
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders
Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho
arXiv preprint   ·   Jan 2020   ·   https://arxiv.org/abs/2001.04893

2019

In-memory database acceleration on FPGAs: a survey
In-memory database acceleration on FPGAs: a survey
Jian Fang, Yvo T. B. Mulder, Jan Hidders, Jinho Lee, H. Peter Hofstee
The VLDB Journal   ·   Oct 2019   ·   10.1007/s00778-019-00581-w
Video-Text Compliance: Activity Verification Based on Natural Language Instructions
Video-Text Compliance: Activity Verification Based on Natural Language Instructions
Mayoore Jaiswal, Frank Liu, Anupama Jagannathan, Anne Gattiker, Inseok Hwang, ..., Soham Shah, Peter Hofstee, Valerie Chen, Suvadip Paul, Rogerio Feris
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)   ·   Oct 2019   ·   10.1109/ICCVW.2019.00188
An Efficient Graph Compressor Based on Adaptive Prefix Encoding
An Efficient Graph Compressor Based on Adaptive Prefix Encoding
Jinho Lee, Frank Liu
Proceedings of the 31st International Conference on Scientific and Statistical Database Management   ·   Jul 2019   ·   10.1145/3335783.3335786
Refine and Recycle: A Method to Increase Decompression Parallelism
Refine and Recycle: A Method to Increase Decompression Parallelism
Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H.Peter Hofstee
2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP)   ·   Jul 2019   ·   10.1109/ASAP.2019.00017
A Diagnosable Network-on-Chip for FPGA Verification of Intellectual Properties
A Diagnosable Network-on-Chip for FPGA Verification of Intellectual Properties
Kyuseung Han, Jae-Jin Lee, Woojoo Lee, Jinho Lee
IEEE Design & Test   ·   Apr 2019   ·   10.1109/MDAT.2018.2890238
Accelerating Conversational Agents Built With Off-the-Shelf Modularized Services
Accelerating Conversational Agents Built With Off-the-Shelf Modularized Services
Jinho Lee, Inseok Hwang, Thomas S. Hubregtsen, Anne E. Gattiker, Christopher M. Durham
IEEE Pervasive Computing   ·   Apr 2019   ·   10.1109/MPRV.2019.2907004

2018

Deep neural networks with weighted spikes
Deep neural networks with weighted spikes
Jaehyun Kim, Heesu Kim, Subin Huh, Jinho Lee, Kiyoung Choi
Neurocomputing   ·   Oct 2018   ·   10.1016/j.neucom.2018.05.087
My Being to Your Place, Your Being to My Place
My Being to Your Place, Your Being to My Place
Bumsoo Kang, Inseok Hwang, Jinho Lee, Seungchul Lee, Taegyeong Lee, Youngjae Chang, Min Kyung Lee
Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services   ·   Jun 2018   ·   10.1145/3210240.3210348
System G Distributed Graph Database
System G Distributed Graph Database
Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu Chen, Jason Crawford, Hiroki Kanezashi, Song Zhang, Warut D. Vijitbenjaronk
arXiv   ·   Feb 2018   ·   https://arxiv.org/abs/1802.03057
TEI-NoC: Optimizing Ultralow Power NoCs Exploiting the Temperature Effect Inversion
TEI-NoC: Optimizing Ultralow Power NoCs Exploiting the Temperature Effect Inversion
Kyuseung Han, Jae-Jin Lee, Jinho Lee, Woojoo Lee, Massoud Pedram
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems   ·   Feb 2018   ·   10.1109/TCAD.2017.2693269

2017

Scalable time-versioning support for property graph databases
Scalable time-versioning support for property graph databases
Warut D. Vijitbenjaronk, Jinho Lee, Toyotaro Suzumura, Gabriel Tanase
2017 IEEE International Conference on Big Data (Big Data)   ·   Dec 2017   ·   10.1109/BigData.2017.8258092
Analyzing In-Memory Hash Joins: Granularity Matters
Analyzing In-Memory Hash Joins: Granularity Matters
Jian Fang, Jinho Lee, Peter Hofstee, Jan Hidders
ADMS workshop @VLDB   ·   Aug 2017   ·   To appear
ExtraV
ExtraV
Jinho Lee, Heesu Kim, Sungjoo Yoo, Kiyoung Choi, H. Peter Hofstee, Gi-Joon Nam, Mark R. Nutter, Damir Jamsek
Proceedings of the VLDB Endowment   ·   Aug 2017   ·   10.14778/3137765.3137776
Excavating the Hidden Parallelism Inside DRAM Architectures With Buffered Compares
Excavating the Hidden Parallelism Inside DRAM Architectures With Buffered Compares
Jinho Lee, Jongwook Chung, Jung Ho Ahn, Kiyoung Choi
IEEE Transactions on Very Large Scale Integration (VLSI) Systems   ·   Jun 2017   ·   10.1109/TVLSI.2017.2655722
SCI-FII: Speculative Conversational Interface Framework for Incremental Inference on Modularized Services
SCI-FII: Speculative Conversational Interface Framework for Incremental Inference on Modularized Services
Jinho Lee, Inseok Hwang, Thomas Hubregtsen, Anne E. Gattiker, Christopher M. Durham
2017 18th IEEE International Conference on Mobile Data Management (MDM)   ·   May 2017   ·   10.1109/MDM.2017.45

2016

Buffered compares: excavating the hidden parallelism inside DRAM architectures with lightweight logic
Buffered compares: excavating the hidden parallelism inside DRAM architectures with lightweight logic
Jinho Lee, Jung Ho Ahn, Kiyoung Choi
Proceedings of the 2016 Conference on Design, Automation & Test in Europe   ·   Mar 2016   ·   https://dl.acm.org/doi/abs/10.5555/2971808.2972099#sec-cit

2015

REDELF
REDELF
Jinho Lee, Kyungsu Kang, Kiyoung Choi
ACM Journal on Emerging Technologies in Computing Systems   ·   Sep 2015   ·   10.1145/2751560
THOR: Orchestrated thermal management of cores and networks in 3D many-core architectures
THOR: Orchestrated thermal management of cores and networks in 3D many-core architectures
Jinho Lee, Junwhan Ahn, Kiyoung Choi, Kyungsu Kang
The 20th Asia and South Pacific Design Automation Conference   ·   Jan 2015   ·   10.1109/ASPDAC.2015.7059104

2014

Tree-Mesh Heterogeneous Topology for Low-Latency NoC
Tree-Mesh Heterogeneous Topology for Low-Latency NoC
Sungju Han, Jinho Lee, Kiyoung Choi
Proceedings of the 2014 International Workshop on Network on Chip Architectures   ·   Dec 2014   ·   10.1145/2685342.2685346

2013

Towards optimal adaptive routing in 3D NoC with limited vertical bandwidth
Towards optimal adaptive routing in 3D NoC with limited vertical bandwidth
Gunhee Lee, Jinho Lee, Kiyoung Choi
Proceedings of the Sixth International Workshop on Network on Chip Architectures   ·   Dec 2013   ·   10.1145/2536522.2536534
Mapping and Scheduling of Tasks and Communications on Many-Core SoC Under Local Memory Constraint
Mapping and Scheduling of Tasks and Communications on Many-Core SoC Under Local Memory Constraint
Jinho Lee, Moo-Kyoung Chung, Yeon-Gon Cho, Soojung Ryu, Jung Ho Ahn, Kiyoung Choi
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems   ·   Nov 2013   ·   10.1109/TCAD.2013.2266405
Deflection routing in 3D network-on-chip with limited vertical bandwidth
Deflection routing in 3D network-on-chip with limited vertical bandwidth
Jinho Lee, Dongwoo Lee, Sunwook Kim, Kiyoung Choi
ACM Transactions on Design Automation of Electronic Systems   ·   Oct 2013   ·   10.1145/2505011
A deadlock-free routing algorithm requiring no virtual channel on 3D-NoCs with partial vertical connections
A deadlock-free routing algorithm requiring no virtual channel on 3D-NoCs with partial vertical connections
Jinho Lee, Kiyoung Choi
2013 Seventh IEEE/ACM International Symposium on Networks-on-Chip (NoCS)   ·   Apr 2013   ·   10.1109/NoCS.2013.6558407
Deflection routing in 3D Network-on-Chip with TSV serialization
Deflection routing in 3D Network-on-Chip with TSV serialization
Jinho Lee, Dongwoo Lee, Sunwook Kim, Kiyoung Choi
2013 18th Asia and South Pacific Design Automation Conference (ASP-DAC)   ·   Jan 2013   ·   10.1109/ASPDAC.2013.6509554

2012

An adaptive routing algorithm for 3D mesh NoC with limited vertical bandwidth
An adaptive routing algorithm for 3D mesh NoC with limited vertical bandwidth
Mingyang Zhu, Jinho Lee, Kiyoung Choi
2012 IEEE/IFIP 20th International Conference on VLSI and System-on-Chip (VLSI-SoC)   ·   Oct 2012   ·   10.1109/VLSI-SoC.2012.6378999
Memory-aware mapping and scheduling of tasks and communications on many-core SoC
Memory-aware mapping and scheduling of tasks and communications on many-core SoC
Jinho Lee, Kiyoung Choi
17th Asia and South Pacific Design Automation Conference   ·   Jan 2012   ·   10.1109/ASPDAC.2012.6164985

2011

3D network-on-chip with wireless links through inductive coupling
3D network-on-chip with wireless links through inductive coupling
Jinho Lee, Mingyang Zhu, Kiyoung Choi, Jung Ho Ahn, Rohit Sharma
2011 International SoC Design Conference   ·   Nov 2011   ·   10.1109/isocc.2011.6138783

2009

Leakage power reduction of functional units in processors having zero-overhead loop counter
Leakage power reduction of functional units in processors having zero-overhead loop counter
Hanmin Park, Jong Kyung Paek, Jinho Lee, Kiyoung Choi
2009 International SoC Design Conference (ISOCC)   ·   Jan 2009   ·   10.1109/SOCDC.2009.5423916